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Golnoosh Samei
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2020 – today
- 2024
- [c13]Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar:
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. ICLR 2024 - 2023
- [i4]Seyed-Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar:
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. CoRR abs/2310.04564 (2023) - 2022
- [c12]Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan:
NeuMan: Neural Human Radiance Field from a Single Video. ECCV (32) 2022: 402-418 - [i3]Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan:
NeuMan: Neural Human Radiance Field from a Single Video. CoRR abs/2203.12575 (2022) - 2021
- [i2]Golnoosh Samei, Davood Karimi, Claudia Kesch, Septimiu E. Salcudean:
Automatic Segmentation of the Prostate on 3D Trans-rectal Ultrasound Images using Statistical Shape Models and Convolutional Neural Networks. CoRR abs/2106.09662 (2021) - 2020
- [j7]Golnoosh Samei, Keith Tsang, Claudia Kesch, Julio Lobo, Soheil Hor, Omid Mohareri, Silvia D. Chang, S. Larry Goldenberg, Peter C. Black, Septimiu E. Salcudean:
A partial augmented reality system with live ultrasound and registered preoperative MRI for guiding robot-assisted radical prostatectomy. Medical Image Anal. 60 (2020)
2010 – 2019
- 2019
- [j6]Prateek Mathur, Golnoosh Samei, Keith Tsang, Julio Lobo, Septimiu E. Salcudean:
On the feasibility of transperineal 3D ultrasound image guidance for robotic radical prostatectomy. Int. J. Comput. Assist. Radiol. Surg. 14(6): 923-931 (2019) - [i1]Davood Karimi, Golnoosh Samei, Yanan Shao, Tim Salcudean:
A deep learning-based method for prostate segmentation in T2-weighted magnetic resonance imaging. CoRR abs/1901.09462 (2019) - 2018
- [j5]Qi Zeng, Golnoosh Samei, Davood Karimi, Claudia Kesch, Seyedeh Sara Mahdavi, Purang Abolmaesumi, Septimiu E. Salcudean:
Prostate segmentation in transrectal ultrasound using magnetic resonance imaging priors. Int. J. Comput. Assist. Radiol. Surg. 13(6): 749-757 (2018) - [j4]Davood Karimi, Golnoosh Samei, Claudia Kesch, Guy Nir, Septimiu E. Salcudean:
Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models. Int. J. Comput. Assist. Radiol. Surg. 13(8): 1211-1219 (2018) - [j3]Golnoosh Samei, Orcun Goksel, Julio Lobo, Omid Mohareri, Peter C. Black, Robert Rohling, Septimiu E. Salcudean:
Real-Time FEM-Based Registration of 3-D to 2.5-D Transrectal Ultrasound Images. IEEE Trans. Medical Imaging 37(8): 1877-1886 (2018) - 2016
- [j2]Christine Tanner, Y. Zur, Karen French, Golnoosh Samei, Jan Strehlow, G. Sat, Helen McLeod, Graeme Houston, Sebastian Kozerke, Gábor Székely, Andreas Melzer, Tobias Preußer:
In vivo validation of spatio-temporal liver motion prediction from motion tracked on MR thermometry images. Int. J. Comput. Assist. Radiol. Surg. 11(6): 1143-1152 (2016) - [c11]Christine Tanner, Minglei Yang, Golnoosh Samei, Gábor Székely:
Influence of inter-subject correspondences on liver motion predictions from population models. ISBI 2016: 286-289 - 2015
- [c10]Christine Tanner, Golnoosh Samei, Gábor Székely:
Robust exemplar model of respiratory liver motion and individualization using an additional breath-hold image. ISBI 2015: 1576-1579 - [c9]Golnoosh Samei, Gábor Székely, Christine Tanner:
Prediction of Rib Motion During Free-Breathing from Liver Observations Using 4D MRI. CLIP@MICCAI 2015: 45-53 - 2014
- [b1]Golnoosh Samei:
Multi-Organ Respiratory Motion Modeling. ETH Zurich, Zürich, Switzerland, 2014 - [c8]Golnoosh Samei, Christine Tanner, Gábor Székely:
RIB detection in MR images using shape priors and appearance models. ISBI 2014: 798-801 - [c7]Christine Tanner, Golnoosh Samei, Gábor Székely:
Improved Reconstruction of 4D-MR Images by Motion Predictions. MICCAI (1) 2014: 146-153 - [c6]Golnoosh Samei, Gábor Székely, Christine Tanner:
Detection and Registration of Ribs in MRI Using Geometric and Appearance Models. MICCAI (1) 2014: 706-713 - 2013
- [c5]Christine Tanner, Golnoosh Samei, Gábor Székely:
Investigating anisotropic diffusion for the registration of abdominal MR images. ISBI 2013: 484-487 - [c4]Golnoosh Samei, Grzegorz Chlebus, Gábor Székely, Christine Tanner:
Adaptive Confidence Regions of Motion Predictions from Population Exemplar Models. Abdominal Imaging 2013: 231-240 - [c3]Dirk Boye, Golnoosh Samei, Johannes Schmidt, Gábor Székely, Christine Tanner:
Population based modeling of respiratory lung motion and prediction from partial information. Medical Imaging: Image Processing 2013: 86690U - 2012
- [c2]Golnoosh Samei, Christine Tanner, Gábor Székely:
Predicting Liver Motion Using Exemplar Models. Abdominal Imaging 2012: 147-157
2000 – 2009
- 2008
- [c1]Mostafa Kamali, Golnoosh Samei:
Border preserving skin lesion segmentation. Medical Imaging: Computer-Aided Diagnosis 2008: 69153A - 2006
- [j1]Nima Razavi, Golnoosh Samei, Masoud Alipour, Ali Farhadi:
How to tell the difference between a cat and a dog? Int. J. Imaging Syst. Technol. 16(5): 234-239 (2006)
Coauthor Index
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